“AI는 죄가 없다, 공부 안 한 당신이 문제”…MIT 소장의 뼈 때리는 일자리 조언 MIT CSAIL의 수장 다니엘라 루스 소장이 기술 격변기의 생존 전략을 공개했습니다. AI를 인지적 보조 도구로 활용하는 ‘기술 민주화’의 시대, 스마트폰 하나로 누구나 창업가로 거듭나는 ‘1인 기업’의 미래가 열리고 있습니다. AI포스트 핵심 요약 ✅ [일자리의 새로운 경쟁 구도]

"AI는 죄가 없다" MIT 소장이 밝힌 '일자리 도둑'의 진짜 정체

"AI가 사람을 다 자른다는데 사실인가요?" 😲 MIT 다니엘라 루스 소장에게 물었습니다. 그녀의 답변은 아주 차갑고도 현실적이었습니다.

"AI는 단지 도구일 뿐입니다. 당신의 자리를 뺏는 건 AI가 아니라, AI를 활용해 당신보다 10배 더 빨리 업무를 끝내는 '다른 사람'입니다." 👨‍💻⚡️
www.aipostkorea.com/news/article...

#다니엘라루스 #MIT #CSAIL #일자리대체 #AI포스트

"Global AI adoption is outpacing risk understanding"

Surprising no one, but as an academic work this has the receipts....

www.csail.mit.edu/news/global-ai-adoption-...

https://airisk.mit.edu/

#AI #MIT #CSAIL #misinformation #privacy #security […]

Guided learning helps previously 'untrainable' neural networks learn effectively Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a b...

#MIT’s #CSAIL work shows that so-called #untrainable #NueralNetworks are not inherently doomed. With guidance, failure modes can be eliminated, overfitting avoided, and previously ineffective architectures brought into line with modern performance standards. techxplore.com/news/2025-12...

New control system teaches soft robots the art of staying safe System developed by researchers at MIT CSAIL and LIDS uses rigorous mathematics to ensure robots flex, adapt, and interact with people and objects in a safe and precise way. It helps robots remain fle...

#MIT #CSAIL & #LIDS researchers developed a mathematically grounded system that lets #soft #robots deform, adapt & interact with people and objects, without violating safety limits. news.mit.edu/2025/new-con...

Using generative AI to diversify virtual training grounds for robots MIT CSAIL's “Steerable Scene Generation” method helps create realistic, virtual training grounds to help robots practice physical tasks. It arranges 3D assets into digital kitchens, living rooms,...

Researchers at #MIT’s #CSAIL & the #ToyotaResearchInstitute may have found a way to create the diverse, realistic training grounds #robots need. Their #steerable scene generation” approach creates digital scenes to simulate lots of real-world interactions and scenarios. news.mit.edu/2025/using-g...

Machine-learning tool gives doctors a more detailed 3D picture of fetal health MIT CSAIL researchers developed Fetal SMPL, a novel tool that can accurately model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses...

#MIT #CSAIL researchers developed a tool that can model the shape and movements of #fetuses in #3D, potentially assisting doctors in finding #abnormalities & making #diagnoses. news.mit.edu/2025/machine...

MIT researchers develop AI tool to improve flu vaccine strain selection MIT's “VaxSeer” AI system predicts dominant flu strains months ahead and identifies the most protective vaccine candidates. It uses deep learning models that were trained on viral sequences and l...

Scientists at #MIT’s #CSAIL & the #AbdulLatifJameelClinic for #MachineLearning created an #AI system called #VaxSeer, designed to predict dominant #flu strains & identify the most protective #vaccine candidates, months ahead of time. news.mit.edu/2025/vaxseer...

MIT’s new FabObscura tool turns everyday objects into moving displays — no electronics needed. ✨➡️🎞️ From coasters to kids’ books, static images come alive.

#MIT #CSAIL #FabObscura #Innovation #DesignTech

MIT tool visualizes and edits “physically impossible” objects The “Meschers” tool from MIT CSAIL represents “physically impossible” objects commonly found in M.C. Escher’s illustrations by converting both images and 3D models in 2.5-dimensional objects. The tool...

#MIT’s #CSAIL researchers developed the “#Meschers” tool, which converts images and 3D models into 2.5-dimensional structures; it helps users relight, smooth out, and study unique geometries while preserving their optical illusion.
news.mit.edu/2025/mit-mes...

Robot, know thyself: New vision-based system teaches machines to understand their bodies A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by MIT CSAIL rese...

#MIT’s #CSAIL scientists developed a different perspective on #robotic control, #NJF, which gives #robots a kind of bodily #selfawareness. It allows robots to learn how their bodies respond to control commands, solely through vision. news.mit.edu/2025/vision-...

MIT research: Using generative AI to help robots jump higher and land better By Alex Shipps, digital strategy coordinator, MIT Computer Science & Artificial Intelligence Laboratory Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainst…

A new approach from #MIT’s Computer Science and Artificial Intelligence Laboratory, #CSAIL, applies this #generative know-how towards improving humans’ #robotic #designs. roboticsandautomationnews.com/2025/06/16/m...

MIT researchers develop ‘Oreo’ to protect against hardware attacks Researchers at the MIT Com...

www.developer-tech.com/news/mit-researchers-dev...

#Hacking #& #Security #Linux #Platforms #Windows #aslr #csail […]

[Original post on developer-tech.com]

Teaching AI to communicate sounds like humans do Modeled after the human vocal tract, MIT CSAIL’s AI system can generate and understand vocal imitations of everyday sounds. It “sketches up” human-like vocal impressions without training, or ever hear...

🎤 Ever mimicked a siren, crow, or bell? Now AI can too! MIT CSAIL built an AI system inspired by human vocal tracts to create & understand human-like vocal imitations. 🎶 Sounds fun! It will be great for #entertainment & #education. #AI #Innovation #Tech #CSAIL #VoiceTech
news.mit.edu/2025/teachin...

Daniela Rus wins John Scott Award Daniela Rus, director of CSAIL and MIT EECS professor, is a co-recipient of the 2024 John Scott Award. This prestigious honor celebrates her innovations in developing machine intelligence for robots.

Daniela Rus wins John Scott Award. MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.

news.mit.edu/2024/daniela...

#DanielaRus #JohnScott #Award #MIT #CSAIL #EECS #Robotics #Research